Augmented reality based low power consuming smartphone control scheme

Jong Moon Chung, Taeyoung Ha, Sung Woong Jo, Taehyun Kyong, So Yun Park

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The popularity of augmented reality (AR) applications and games are in high demand. Currently, the best common platform to implement AR services is on a smartphone, as online games, navigators, personal assistants, travel guides are among the most popular applications of smartphones. However, the power consumption of an AR application is extremely high, and therefore, highly adaptable and dynamic low power control schemes must be used. Dynamic voltage and frequency scaling (DVFS) schemes are widely used in smartphones to minimize the energy consumption by controlling the device’s operational frequency and voltage. DVFS schemes can sometimes lead to longer response times, which can result in a significant problem for AR applications. In this paper, an AR response time monitor is used to observe the time interval between the AR image input and device’s reaction time, in order to enable improved operational frequency and AR application process priority control. Based on the proposed response time monitor and the characteristics of the Linux kernel’s completely fair scheduler (CFS) (which is the default scheduler of Android based smartphones), a response time step control (RSC) scheme is proposed which adaptively adjusts the CPU frequency and interactive application’s priority. The experimental results show that RSC can reduce the energy consumption up to 10.41% compared to the ondemand governor while reliably satisfying the response time performance limit of interactive applications on a smartphone.

Original languageEnglish
Pages (from-to)5168-5181
Number of pages14
JournalKSII Transactions on Internet and Information Systems
Volume11
Issue number10
DOIs
Publication statusPublished - 2017 Oct 31

Bibliographical note

Funding Information:
A preliminary version of this paper appeared in ICONI 2016 (“Response time Analysis of Augmented Reality based Smartphone Applications”), and was selected as an outstanding paper. This version exapands on the experimental setup and provides further performance analysis on scheduling a CPU of smartphone. This research was supported by a grant [MOIS-DP-2015-10] through the Disaster and Safety Management Institute funded by Ministry of the Interior and Safety of Korean government.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Augmented reality based low power consuming smartphone control scheme'. Together they form a unique fingerprint.

Cite this